摘要：Owing to the potential ability of metal nanoparticles to enhance the performance of energy storage devices,their catalytic performance has been studied by many ***,a limited number of suitable characterization techniques does not allow fully elucidating their catalytic ***,high‐accuracy operando magnetometry is employed to investigate the catalytic properties of a cobalt oxide electrode for lithium‐ion batteries fabricated by magnetron *** this technique,the magnetic responses generated by the Co‐catalyzed reversible formation and decomposition of a polymer/gel‐like film are successfully detected.A series of CoO/Co films are prepared by magnetron sputtering in different environments at various sputtering times to study the influence of Co content and film thickness on their catalytic *** is clearly demonstrated that increasing the Co content enhances the magnetic signal associated with the catalysis ***,decreasing the electrode thickness increases the area affected by the catalytic reactions,which in turn enhances the corresponding magnetic *** obtained results experimentally confirm the catalytic activity of Co metal nanoparticles and provide a scientific guidance for designing advanced energy storage *** work also shows that operando magnetometry is a versatile technique for studying the catalytic effects of transition metals.

摘要：Interfacial space charge storage between ionic and electronic conductor is a promising scheme to further improve energy and power density of alkali metal ion batteries(AMIBs).However,the general behavior of space charge storage in AMIBs has been less investigated experimentally,mostly due to the complicated electrochemical behavior and lack of proper characterization ***,we use operando magnetometry to verify that in FeSe_(2)AMIBs,abundant li^(+)/Na^(+)/K^(+)(M^(+))can be stored at M_(2)Se phase while electrons accumulate at Fe nanoparticles,forming interfacial space charge *** and dynamics tests further demonstrate that with increasing ionic radius from li^(+),Na^(+)to K^(+),the reaction kinetics can be hindered,resulting in limited Fe formation and reduced space charge storage *** work lays solid foundation for studying the complex interfacial effect in electrochemical processes and designing advanced energy storage devices with substantial capacity and considerable power density.

摘要：就湖北省博物馆IP文创日用产品开发,对博物馆品牌内涵的传达现状和问题点展开分析,提出明确色彩体系规划、提升产品体验趣味性以及多途径实现品牌价值来强化品牌内涵传达效果的策略和方案,为省博IP文创日用产品开发提供参考。

摘要：介绍了基于先乔火电、核电联合辅助设计软件INPOWER v3.0平台,结合公司实际需求,在其上进行二次开发,形成一套试验仪控系统数字化设计平台。该平台可以完成试验仪控系统设计及仪表设备管理,包括设计要求输入管理、仪表设备选型、仪表测量不确定度评定计算、仪表设备管理等功能。利用此软件平台可以在设计阶段提供足够的参考信息,这些信息是标准化的。可以提高设计的准确性,减少设计疏漏,提高设计效率。另外,此软件提供的管理功能可以实时方便的了解各个试验仪表状况,进行及时的跟踪。

摘要：介绍了YZYKS1120-4大容量正压型三相异步电动机的研制,以及电动机电气性能、结构、防爆性能设计方案,并着重对电动机的性能指标、防爆检验进行了分析和详细介绍。

摘要：理解电化学储能系统的构效关系将极大推动电极材料中新现象和新性能的发现与调控。然而,没有任何一种单一技术可以澄清电化学体系中复杂界面反应的所有问题,只有从多个角度进行观察才能看清被埋藏的界面和工作状态下的演变历程。由于大量储能材料富含过渡金属元素,其磁学性质与晶格结构、电子能带、电化学性能密切相关。因此,磁学测试分析可以揭示能源材料中的结构相变和局部电子分布等变化,解析物理化学反应机理,指导材料设计。围绕磁性表征技术,本文首先讨论了磁性测试的技术原理,随后总结介绍了磁性测试在研究电极材料物性结构表征以及电化学反应进程方面的研究进展,尤其介绍了原位实时磁性测试在阐明储能物理化学反应机理方面的独特优势。综合分析表明,原位磁性表征技术可以对电化学反应中的电荷转移进行高灵敏度、快速响应的测试表征,为揭示复杂界面电化学反应提供了新思路,在储能科学中具有广阔的应用前景。本文有助于了解磁性测试技术在电化学储能材料研究中的重要价值,并进一步推动磁性测试技术在储能领域的发展。

摘要：先期施工的基坑护坡桩混凝土强度不足病态评估,是一个较少见的问题,以某基坑护坡桩强度检测评估和继续利用为例,从取芯抗压强度取值、芯样代表性判定、用于评估的混凝土强度选择原则确定、评估取值输入与计算方法等方面,深入探讨了和形成了一套基坑护坡桩桩身混凝土强度不足问题的评估方法,在此基础上形成了加固设计方案,应用于基坑工程继续开挖和旧有支护结构的利用,取得成功,为类似工程问题解决提供了借鉴。

摘要：为了降低少模光纤的模间耦合和弯曲损耗,增大有效模场面积,设计了一种环芯和侧孔辅助结构的少模光纤。理论分析了这种光纤的有效折射率分布、弯曲损耗和有效模场面积,采用有限元法计算光纤参数对相邻LP模式间最小有效折射率差、有效模场面积和弯曲损耗的影响,各模式之间的最小有效折射率差可达1.7×10^(-3),所有模式的有效模场面积均大于106μm^(2),当弯曲半径为28mm时,各模式弯曲损耗最大仅为10^(-11)dB/m。该结构具有大模场面积,低模间串扰以及更好的抗弯曲性能,延伸了空分复用的研究思路。

摘要：为了增强传递函数的特征区分能力并简化交互模式,提出一种基于二维直方图图像分割和特征度量差异性分析的渐进式体绘制传递函数设计方法.通过渐进式地用不同的特征组成传递函数对目标区域进行逐步求精地分离,并在每次分离时采用面向数据分类的特征空间度量差异性的评估方法智能指导二维传递函数数值特征的选取.使用这一系列二维传递函数对目标区域进行多次分离,得到目标区域精确的分离结果;再利用此结果突出目标区域的显示,增强可视化效果.由于该方法借鉴了前人建立在对二维直方图图像进行normalized cut分割和层次聚类的交互方式,使得二维直方图的交互也非常简单便捷.实验结果表明,文中方法是有效的.

摘要：Numerical weather simulation data usually comprises various meteorological variables, such as precipitation, temperature and pressure. In practical applications, data generated with several different numerical simulation models are usually used together by forecasters to generate the final forecast. However, it is difficult for forecasters to obtain a clear view of all the data due to its complexity. This has been a great limitation for domain experts to take advantage of all the data in their routine work. In order to help explore the multi-variate and multi-model data, we propose a stamp based exploration framework to assist domain experts in analyzing the data. The framework is used to assist domain experts in detecting the bias patterns between numerical simulation data and observation data. The exploration pipeline originates from a single meteorological variable and extends to multiple variables under the guidance of a designed stamp board. Regional data patterns can be detected by analyzing distinctive stamps on the board or generating extending stamps using the Boolean set operations. Experiment results show that some meteorological phenomena and regional data patterns can be easily detected through the exploration. These can help domain experts conduct the data analysis efficiently and further guide forecasters in producing reliable weather forecast.